Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "112"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 112 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 43 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 41 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 112, Node N10:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459858 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.069773 -0.708156 0.394344 0.319586 0.364340 -0.661841 1.248753 -0.530637 0.7210 0.6857 0.4287 1.510529 1.354146
2459857 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.654215 0.289324 -0.045510 0.029398 0.012195 0.736935 -0.339920 -0.090950 0.0275 0.0250 0.0013 nan nan
2459856 digital_ok 0.00% 0.00% 0.00% 0.00% 3.43% 0.57% -0.615495 -0.123653 -0.242018 -1.121556 -0.906841 0.415849 1.296516 -1.002387 0.7130 0.7033 0.4137 1.522500 1.365569
2459855 digital_ok 0.00% 0.00% 0.00% 0.00% 4.58% 0.00% -0.480702 -0.329179 -0.235140 -1.373451 -0.527496 1.248802 0.416970 -0.416834 0.6813 0.7129 0.4581 1.286754 1.212132
2459854 digital_ok 0.00% 0.00% 0.00% 0.00% 8.93% 0.00% -0.762464 -0.491468 -0.619453 -0.480962 -0.326540 1.155378 0.998038 -0.445743 0.7132 0.7406 0.4488 1.310252 1.232647
2459853 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.56% -1.020192 -0.572203 -0.796563 -0.367961 -0.397118 0.692787 1.664653 -0.953616 0.7345 0.6888 0.4372 1.395544 1.303880
2459852 digital_ok 0.00% 0.00% 0.00% 0.00% 8.65% 0.00% -1.273004 -0.068864 -0.886911 -0.956186 -0.164216 0.790931 -0.908774 -0.645797 0.8269 0.8380 0.2492 2.523003 2.568380
2459851 digital_ok 0.00% 0.00% 0.00% 0.00% 11.76% 0.00% -0.894618 -0.736885 -0.834662 -0.539190 -0.124297 2.324665 1.268352 -0.160277 0.7501 0.7415 0.3544 1.591775 1.395553
2459850 digital_ok 0.00% 0.00% 0.00% 0.00% 18.02% 0.00% -0.809475 -0.432397 -0.704167 -0.461876 -0.767904 0.613999 1.446212 -0.595269 0.7365 0.7585 0.3651 1.264556 1.241295
2459849 digital_ok 0.00% 0.00% 0.00% 0.00% 16.67% 0.00% -0.406595 -0.479778 -0.850927 1.473082 -0.005451 2.320370 1.707555 -1.220685 0.7340 0.7522 0.3710 1.386531 1.258701
2459848 digital_ok 0.00% 0.00% 0.00% 0.00% 30.15% 0.00% 0.393021 -0.579941 3.421377 0.530274 -0.306116 0.554521 1.772287 -1.052871 0.7051 0.7537 0.3933 1.422471 1.235979
2459847 digital_ok 0.00% 0.00% 0.00% 0.00% 3.21% 0.00% -0.154199 -0.651307 3.248347 0.162686 -0.260816 0.589102 0.678178 -0.739292 0.7101 0.6868 0.4439 1.497051 1.302365
2459845 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.943233 -0.263012 4.922098 2.533464 1.471939 3.117453 0.949774 -1.462172 0.7337 0.7519 0.3724 4.367654 3.735261
2459844 digital_ok 0.00% 100.00% 100.00% 0.00% - - 2.843283 1.919106 -0.258435 -0.503361 -0.210366 -0.060938 -1.051228 -1.153083 0.0272 0.0246 0.0016 nan nan
2459843 digital_ok 0.00% 0.66% 0.66% 0.00% 15.76% 2.72% 0.743081 -0.182115 1.986269 0.045846 2.526158 0.692098 0.748966 -1.075600 0.7327 0.7442 0.4019 1.070826 0.975224
2459842 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.700335 -0.705311 1.368616 -0.216149 0.885867 0.323741 0.689753 0.032495 0.7475 0.6794 0.2648 1.780680 1.726250
2459841 digital_ok 0.00% 100.00% 100.00% 0.00% - - 2.036700 2.898886 -0.307832 -0.603929 -0.495964 3.101210 -0.708765 -1.044594 0.0268 0.0245 0.0015 nan nan
2459840 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.546314 -0.368849 -1.166454 -0.086734 -0.809782 0.109561 -1.126519 -0.154687 0.0266 0.0232 0.0019 nan nan
2459839 digital_ok 0.00% - - - - - 1.190343 1.090835 -0.049217 -0.070189 -0.047033 -0.387616 -1.622757 -0.928687 nan nan nan nan nan
2459838 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0344 0.0405 0.0013 nan nan
2459835 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.223842 0.000016 -0.926048 -0.663723 2.752180 1.780128 -0.835322 -1.155651 0.0330 0.0362 0.0012 nan nan
2459833 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.607072 -0.404683 -0.002638 0.165977 1.998231 0.732597 -0.765154 -0.382334 0.0289 0.0345 0.0016 nan nan
2459832 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.243505 -0.497608 -0.852050 -0.318049 -0.441135 0.621008 -0.337279 -1.009985 0.7391 0.4391 0.5679 1.742668 1.557526
2459831 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.877494 0.783602 0.313924 0.069880 0.275755 0.127927 -1.236599 -0.579634 0.0269 0.0265 0.0018 nan nan
2459830 digital_ok 0.00% 0.00% 16.13% 0.00% 15.79% 0.00% -1.019285 -0.220304 -0.680415 0.174072 1.540686 -0.186831 -0.215753 -1.451230 0.7351 0.4381 0.5539 1.888347 1.590011
2459829 digital_ok 0.00% 0.00% 1.61% 0.00% 0.65% 0.00% -0.238478 0.080341 -0.294787 0.675657 -0.476476 0.565873 -0.471302 -1.560556 0.6585 0.5714 0.4257 1.051752 0.994064
2459828 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.064142 -0.165695 -0.317061 0.527513 0.015139 -1.188114 -0.562633 -1.569387 0.7283 0.4483 0.5341 1.791392 1.735434
2459827 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.262457 -0.403197 -0.472126 1.451862 -0.535376 -0.537901 -0.506288 -1.372603 0.6684 0.5819 0.4241 1.808752 1.612762
2459826 digital_ok 0.00% 16.13% 16.13% 0.00% 15.79% 0.00% -0.761529 -0.144399 -0.635034 1.019675 0.327517 -0.771069 -0.689917 -1.314160 0.6561 0.4199 0.4608 1.037254 0.611340
2459825 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.643636 -0.052282 -0.440330 -0.201119 0.635984 0.079025 0.848594 0.270922 0.0647 0.0792 0.0125 0.000000 0.000000
2459824 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.421671 -0.193962 -0.302487 -0.176963 1.003177 0.615896 2.014010 1.590037 0.0656 0.0744 0.0073 0.000000 0.000000
2459823 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.707099 -0.568193 -0.893045 0.626505 -0.395276 -0.758145 -0.592885 -1.372948 0.0626 0.0718 0.0095 0.000000 0.000000
2459822 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.435493 0.047363 -0.786527 1.064943 0.214928 -0.204375 0.188030 -0.723731 0.0696 0.0781 0.0130 0.000000 0.000000
2459821 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.878141 -0.268183 -0.803311 1.356829 1.232235 0.761421 0.733019 0.011930 0.0653 0.0728 0.0112 1.155287 1.152907
2459820 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.061474 -0.243520 -0.535920 1.293290 -0.682635 -0.058704 -0.667402 -1.391529 0.0639 0.0695 0.0090 0.000000 0.000000
2459817 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.535610 -0.476118 -0.529023 0.677024 0.340369 -0.194575 -0.224198 -0.473269 0.0684 0.0804 0.0114 10.354055 9.002342
2459816 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.142115 -0.265314 -0.645989 0.008904 -0.377935 -0.678762 -0.261776 -1.008714 0.0601 0.0692 0.0124 1.356606 1.351090
2459815 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.674690 -0.093858 -0.568554 0.125450 -0.141303 -1.397788 -0.575744 -1.016663 0.0746 0.0824 0.0108 1.454408 1.453262
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.090831 -0.303569 -0.636764 0.968763 -0.775289 -0.302046 -0.618848 -1.468942 0.0902 0.1024 0.0184 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 112: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Discontinuties 1.248753 -0.708156 -1.069773 0.319586 0.394344 -0.661841 0.364340 -0.530637 1.248753

Antenna 112: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Temporal Variability 0.736935 0.289324 -0.654215 0.029398 -0.045510 0.736935 0.012195 -0.090950 -0.339920

Antenna 112: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Discontinuties 1.296516 -0.615495 -0.123653 -0.242018 -1.121556 -0.906841 0.415849 1.296516 -1.002387

Antenna 112: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Temporal Variability 1.248802 -0.329179 -0.480702 -1.373451 -0.235140 1.248802 -0.527496 -0.416834 0.416970

Antenna 112: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Temporal Variability 1.155378 -0.491468 -0.762464 -0.480962 -0.619453 1.155378 -0.326540 -0.445743 0.998038

Antenna 112: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Discontinuties 1.664653 -0.572203 -1.020192 -0.367961 -0.796563 0.692787 -0.397118 -0.953616 1.664653

Antenna 112: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Temporal Variability 0.790931 -1.273004 -0.068864 -0.886911 -0.956186 -0.164216 0.790931 -0.908774 -0.645797

Antenna 112: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Temporal Variability 2.324665 -0.894618 -0.736885 -0.834662 -0.539190 -0.124297 2.324665 1.268352 -0.160277

Antenna 112: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Discontinuties 1.446212 -0.809475 -0.432397 -0.704167 -0.461876 -0.767904 0.613999 1.446212 -0.595269

Antenna 112: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Temporal Variability 2.320370 -0.406595 -0.479778 -0.850927 1.473082 -0.005451 2.320370 1.707555 -1.220685

Antenna 112: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Power 3.421377 -0.579941 0.393021 0.530274 3.421377 0.554521 -0.306116 -1.052871 1.772287

Antenna 112: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Power 3.248347 -0.651307 -0.154199 0.162686 3.248347 0.589102 -0.260816 -0.739292 0.678178

Antenna 112: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Power 4.922098 -0.263012 0.943233 2.533464 4.922098 3.117453 1.471939 -1.462172 0.949774

Antenna 112: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Shape 2.843283 2.843283 1.919106 -0.258435 -0.503361 -0.210366 -0.060938 -1.051228 -1.153083

Antenna 112: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Variability 2.526158 -0.182115 0.743081 0.045846 1.986269 0.692098 2.526158 -1.075600 0.748966

Antenna 112: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Power 1.368616 -0.700335 -0.705311 1.368616 -0.216149 0.885867 0.323741 0.689753 0.032495

Antenna 112: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Temporal Variability 3.101210 2.036700 2.898886 -0.307832 -0.603929 -0.495964 3.101210 -0.708765 -1.044594

Antenna 112: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Temporal Variability 0.109561 -0.546314 -0.368849 -1.166454 -0.086734 -0.809782 0.109561 -1.126519 -0.154687

Antenna 112: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Shape 1.190343 1.090835 1.190343 -0.070189 -0.049217 -0.387616 -0.047033 -0.928687 -1.622757

Antenna 112: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 112: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Variability 2.752180 0.000016 -0.223842 -0.663723 -0.926048 1.780128 2.752180 -1.155651 -0.835322

Antenna 112: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Variability 1.998231 -0.404683 0.607072 0.165977 -0.002638 0.732597 1.998231 -0.382334 -0.765154

Antenna 112: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Temporal Variability 0.621008 -1.243505 -0.497608 -0.852050 -0.318049 -0.441135 0.621008 -0.337279 -1.009985

Antenna 112: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Shape 0.877494 0.877494 0.783602 0.313924 0.069880 0.275755 0.127927 -1.236599 -0.579634

Antenna 112: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Variability 1.540686 -1.019285 -0.220304 -0.680415 0.174072 1.540686 -0.186831 -0.215753 -1.451230

Antenna 112: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 0.675657 0.080341 -0.238478 0.675657 -0.294787 0.565873 -0.476476 -1.560556 -0.471302

Antenna 112: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 0.527513 -0.165695 -1.064142 0.527513 -0.317061 -1.188114 0.015139 -1.569387 -0.562633

Antenna 112: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 1.451862 -0.262457 -0.403197 -0.472126 1.451862 -0.535376 -0.537901 -0.506288 -1.372603

Antenna 112: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 1.019675 -0.144399 -0.761529 1.019675 -0.635034 -0.771069 0.327517 -1.314160 -0.689917

Antenna 112: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Discontinuties 0.848594 -0.052282 -0.643636 -0.201119 -0.440330 0.079025 0.635984 0.270922 0.848594

Antenna 112: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok ee Temporal Discontinuties 2.014010 -0.421671 -0.193962 -0.302487 -0.176963 1.003177 0.615896 2.014010 1.590037

Antenna 112: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 0.626505 -0.568193 -0.707099 0.626505 -0.893045 -0.758145 -0.395276 -1.372948 -0.592885

Antenna 112: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 1.064943 -0.435493 0.047363 -0.786527 1.064943 0.214928 -0.204375 0.188030 -0.723731

Antenna 112: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 1.356829 -0.268183 -0.878141 1.356829 -0.803311 0.761421 1.232235 0.011930 0.733019

Antenna 112: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 1.293290 0.061474 -0.243520 -0.535920 1.293290 -0.682635 -0.058704 -0.667402 -1.391529

Antenna 112: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 0.677024 -0.535610 -0.476118 -0.529023 0.677024 0.340369 -0.194575 -0.224198 -0.473269

Antenna 112: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 0.008904 -0.265314 -1.142115 0.008904 -0.645989 -0.678762 -0.377935 -1.008714 -0.261776

Antenna 112: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 0.125450 -0.093858 -0.674690 0.125450 -0.568554 -1.397788 -0.141303 -1.016663 -0.575744

Antenna 112: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 112: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
112 N10 digital_ok nn Power 0.968763 -0.303569 -0.090831 0.968763 -0.636764 -0.302046 -0.775289 -1.468942 -0.618848
In [ ]: